Transcriptome of <i>Cenostigma pyramidale</i> roots, a woody legume, under different salt stress times
Bibliographic record
Abstract
Abstract Salinity stress has a significant impact on the gain of plant biomass. Our study provides the first root transcriptome of Cenostigma pyramidale, a tolerant woody legume from a tropical dry forest, under three different salt stress times (30 min, 2 h, and 11 days). The transcriptome was assembled using the RNA sequencing (RNA‐Seq) de novo pipeline from GenPipes. We observed 932, 804, and 3157 upregulated differentially expressed genes (DEGs) and 164, 273, and 1332 downregulated DEGs for salt over 30 min, 2 h, and 11 days, respectively. For DEGs annotated with the Viridiplantae clade in the early stress periods, the response to salt stress was mainly achieved by stabilizing homeostasis of such ions like Na+ and K+, signaling by Ca2+, transcription factor modulation, water transport, and oxidative stress. For salt stress at 11 days, we observed a higher modulation of transcription factors including the WRKY, MYB, bHLH, NAC, HSF, and AP2‐EREBP families, as well as DEGs involved in hormonal responses, water transport, sugar metabolism, proline, and reactive oxygen scavenging mechanisms. Five selected DEGs (K+ transporter, aquaporin, glutathione S‐transferase, cyclic nucleotide‐gated channel, and superoxide dismutase) were validated by qPCR. Our results indicated that C. pyramidale had an early perception of salt stress modulating ionic channels and transporters, and as the stress progressed, the focus turned to the antioxidant system, aquaporins, and complex hormone responses. The results of this first root transcriptome provide clues on how this native species modulate gene expression to achieve salt stress tolerance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".